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In the current investigation, 42 sets of experimental data were collected for the Comb Separator at five different experimental conditions to develop a MLR model. The statistical properties of data collection are summarised in Table 1. SPSS Version 22 (IBM Corp. 2013) was used as a tool for analysing MLR modelling. The MLR model shows the relation of the input parameters to output capture efficiency. However, experimental investigations are limited by the physical challenges of generating a massive experimental dataset. This is an inherent limitation in visualising a range of experimental conditions. To overcome this limitation, a sampling technique was used that allows for expansion of the data series without compromising the relationship between input and output model parameters. The standard Latin hypercube sampling (LHS) technique (Iman & Helton 1981) was used to generate 10,000 sets of data without compromising the relationship between the input–output parameters. SaSAT tools were used (see Table 2).

Table 1

Statistical properties of input data

Input parameterUnitsMinimumMaximumAverageStandard deviation
Runtime min 27 17.04 7.05 
Flow m/s 20 67 43.51 15.65 
Effective spacing mm 1.5 4.8 3.05 1.31 
Weir opening mm 470 970 765.45 251.62 
Layers of combs No. 2.6 0.49 
Input parameterUnitsMinimumMaximumAverageStandard deviation
Runtime min 27 17.04 7.05 
Flow m/s 20 67 43.51 15.65 
Effective spacing mm 1.5 4.8 3.05 1.31 
Weir opening mm 470 970 765.45 251.62 
Layers of combs No. 2.6 0.49 
Table 2

Comparison between initial and final model results

 Change statistics
PredictorsRR squareAdjusted RR square changeF changedf1df2Sig. F change
Model 1: Considering five parameters 
 Layers of combs, runtime, flow, weir opening, effective spacing 0.753 0.567 0.507 0.567 9.438 36 
Model 2: Considering three parameters 
 Runtime, flow, effective spacing 0.741 0.549 0.513 0.549 15.419 38 
 Change statistics
PredictorsRR squareAdjusted RR square changeF changedf1df2Sig. F change
Model 1: Considering five parameters 
 Layers of combs, runtime, flow, weir opening, effective spacing 0.753 0.567 0.507 0.567 9.438 36 
Model 2: Considering three parameters 
 Runtime, flow, effective spacing 0.741 0.549 0.513 0.549 15.419 38 

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